Oleg Sokolsky
4 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Hot Topic Early Bird
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Trend Setter
Venues
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Research topics
Machine Learning
(3)
Application Areas
(3)
Deep Learning
(2)
Core Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
anomaly detection
(2)
image classification
(1)
reinforcement learning
(1)
conformal prediction
(1)
model robustness
(1)
formal verification
(1)
distribution shift
(1)
generative model
(1)
diffusion model
(1)
deep neural network
(1)
out-of-distribution detection
(1)
counterfactual explanation
(1)
formal specification
(1)
adversarial example
(1)
wasserstein distance
(1)
semantic-preserving transformation
(1)
Papers
Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control
MICCAI 2025
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
NeurIPS 2024
DC4L: Distribution shift recovery via data-driven control for deep learning models
L4DC 2024
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
AAAI 2022